PowerMEMS2019 - Self-Powered Sensin - HF.pdf (1.31 MB)
Broadband vibration energy harvesting from underground trains for self-powered condition monitoring
conference contribution
posted on 2020-05-12, 08:14 authored by Hailing Fu, Wenzhe Song, Yong Qin, Eric M YeatmanA broadband vibration energy harvester tailored for self-powered condition monitoring of underground trains is proposed and developed using mechanical non-linearity and integrated multi-mode vibration. A datadriven approach is adopted for harvester design using operational vibration data on a train bogie. The harvester is designed to be unobtrusive while exhibiting good performance in harvesting energy over a wide bandwidth. In this work, the on-site vibration data are first analysed with the design goals identified. Then, a broadband harvester is proposed, implemented and evaluated. The harvester consists of a pre-stretched hosting beam and a group of micro-beams with repulsive magnetic forces on their free ends. A multiple vibration-mode harvester with non-linear dynamics is obtained in such a design. This harvester exhibits good performance over a broad bandwidth in frequency sweep and pseudo-random tests, illustrating its capability in self-powered condition monitoring applications.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
2019 19th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)Source
2019 19th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)Publisher
IEEEVersion
- AM (Accepted Manuscript)
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© IEEEPublisher statement
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Publication date
2020-04-20Copyright date
2020ISBN
9781728156385Publisher version
Language
- en
Location
Krakow, PolandEvent dates
2nd December 2019 - 6th December 2019Depositor
Dr Hailing Fu . Deposit date: 8 May 2020Usage metrics
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